Loka, Inc
Life Sciences
DataLead(LifeSciences)
Neural analysis suggests this role is
optimal for Lead candidates.
“Data Lead (Life Sciences) at Loka, Inc. Skills: Cloud data platforms, Omics, Data engineering, Team leadership. Design cloud-data platforms. Build cloud-data platforms”
Industry & Context.
Problem-solving; Work through ambiguity; Work through incomplete specifications; Work through evolving requirements
What They're Looking For.
Must Have
5+ years of experience, 3+ years of experience leading teams, Proven ability to communicate technical status, Advanced proficiency in Python, Advanced proficiency in SQL, Experience in ETL/ELT design, Hands-on experience with major cloud provider, Experience with data warehousing concepts, Working knowledge of data lakes, Solid problem-solving skills
Nice to Have
Working knowledge of core security, Familiarity with Omics datasets, Experience with distributed systems, Experience with Spark, Experience with open table formats, Experience with Infrastructure as Code, Experience with BI tools
What You'll Do.
Design cloud-data platforms
Build cloud-data platforms
Lead technical projects
Partner with Bioinformatics teams
Partner with ML teams
Partner with Product teams
Ensure data infrastructure is scalable
Ensure data infrastructure is reliable
Ensure data infrastructure is secure
Ensure data infrastructure is user friendly
Design data platforms
Implement data platforms
Implement applications
Lead projects through architecture
Lead projects through design
Lead projects through implementation
Lead projects through rollout
Set standards for team
Set best practices for team
Collaborate with ML teams
Collaborate with Data Science teams
Collaborate with Bioinformatics teams
Collaborate with Software Engineering teams
Collaborate with Design teams
Collaborate with Business teams
Understand requirements
Define data quality checks
Implement data quality checks
Maintain code integrity
Maintain schema integrity
Maintain data integrity
Monitor data flowing through pipelines
Monitor data flowing through platforms
Analyze data flowing through pipelines
Analyze data flowing through platforms
Build observability tooling
Manage data engineers
Assist engineers with project guidance
Assist engineers with career development
How You'll Work.
Team & Collaboration
Partner with Bioinformatics; Partner with ML; Partner with Product; Collaborate with ML; Collaborate with Data Science; Collaborate with Bioinformatics; Collaborate with Software Engineering; Collaborate with Design; Collaborate with Business
Communication Scope
Communicate technical status; Communicate risks; Communicate trade-offs
Process & Methodology
Technical project leadership, Delivery ownership
Full Job Description
In the last year at Loka, our engineering teams have helped clients advance the world’s #1 AI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer. To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, outshining 150,000 partners for the title. And we did it all while enjoying every other Friday off 😎 As a Data Lead in Life Sciences, you will design and build modern cloud-data platforms for Life Sciences customers, focusing on Omics and analytics-heavy use cases. You will lead technical projects end to end, partner closely with Bioinformatics, ML and Product teams and ensure data infrastructure is scalable, reliable, secure and user friendly. Join our team to feed your desire to grow, build with the latest tools and collaborate on projects you can be proud of. The Role Design and implement scalable, cloud-native data platforms and applications for Life Sciences businesses, focusing on Omics and related multimodal datasets. Lead technical projects through architecture, design, implementation and rollout, setting standards and best practices for the team. Collaborate with Machine Learning, Data Science, Bioinformatics, Software Engineering, Design and Business teams to understand requirements and triage data or ETL issues. Define and implement data quality checks, tests and monitoring to maintain high standards of code, schema and data integrity. Monitor and analyze data flowing through pipelines and platforms, building appropriate dashboards, alerts and observability tooling. Manage a team of data engineers and assist them with project guidance and career development. Requirements 5+ years of experience, including responsibility for production systems, in Data Engineering or a closely related role 3+ years of experience leading teams, including technical mentorship and delivery ownership Proven ability to communicate technical status, risks and trade-offs to clients and internal stakeholders
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